Research on short-term flow prediction of local area network based on ARMA model
International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022)(2022)
Abstract
The characteristics of the ARMA model are analyzed according to the characteristics of the short-term flow data of the local area network in this paper. The time prediction model of network flow is established on the ARMA method. The prediction parameters of the ARMA model are determined and the model is simulated According to the short-term flow prediction. The comparison between the simulation results and the measured data of NetFlow shows that the model can accurately predict the short-term flow behavior trend of the local area network, which can provide reference and reference for the analysis of network traffic behavior.
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Key words
local area network,flow,prediction,short-term
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